Top Machine Learning Jobs in Tijuana

As a Machine Learning Scientist - NLP, you will leverage machine learning and deep learning techniques to solve complex problems in natural language processing and more. You will collaborate with various teams to deploy solutions in production, research new methods, and develop scalable models for real-world applications.

Applied AI/ML Senior Associate role at JPMorgan Chase & Co. Responsibilities include developing AI/ML solutions, collaborating with teams, and advising on optimal solutions. Required qualifications include advanced degree in analytical field, experience in AI/ML, NLP, and strong coding skills in Python.

As a Staff Machine Learning Engineer in the Risk team at Cash App, you'll develop ML solutions to mitigate risk and fraud while collaborating cross-functionally with various teams. You'll utilize your expertise in machine learning algorithms and data analysis to enhance product lifecycle management.

As a Senior Machine Learning Engineer, you will leverage your expertise to develop analytical and machine learning solutions focused on mitigating risk and fraud for Cash App. You'll collaborate with cross-functional teams to balance financial loss, regulatory risks, and enhance customer experiences, deploying updates regularly based on data-driven insights.

As a Senior Machine Learning Engineer in Personalization, you'll design and manage distributed services and tools for machine learning applications, lead projects across engineering boundaries, and collaborate with various teams. Your role includes building recommendation and ranking systems while ensuring high code quality and providing mentorship to teammates.

Design, build, and maintain Machine Learning systems to flag fraudulent activities in real-time. Collaborate with global colleagues on challenging technical problems. Lead the conception and implementation of large-scale experiments to validate novel ideas. Apply latest theoretical advancements to enhance existing products and technologies. Conduct experiments across various computer science domains.

Apply sophisticated machine learning methods in the Time Series and Reinforcement Learning group at JPMorgan Chase. Develop scalable tools for real-world problems in finance and operations, collaborating with various lines of business. Lead projects from conception to deployment of production-level machine learning applications.

As Vice President in the Machine Learning Scientist - NLP team, responsible for applying advanced ML techniques to tasks like NLP, speech analytics, time series, and recommendation systems. Collaborate with various teams, drive firm-wide initiatives, develop ML models, and contribute to knowledge sharing community. PhD in a quantitative discipline with 3 years of industry experience or MS with 5 years. Strong background in NLP, deep learning, machine learning toolkits, big data, and scalable model training. Experience in designing experiments, intrinsically evaluating model performance, and effective communication.